Small bugfixes

pywafo/src/wafo/stats/distributions.py

@@ -50,7 +50,7 @@ __all__ = [
            'weibull_max', 'genlogistic', 'genpareto', 'genexpon', 'genextreme',
            'gamma', 'gengamma', 'genhalflogistic', 'gompertz', 'gumbel_r',
            'gumbel_l', 'halfcauchy', 'halflogistic', 'halfnorm', 'hypsecant',
-           'gausshyper', 'invgamma', 'invnorm', 'invgauss', 'invweibull',
+           'gausshyper', 'invgamma', 'invgauss', 'invweibull',
            'johnsonsb', 'johnsonsu', 'laplace', 'levy', 'levy_l',
            'levy_stable', 'logistic', 'loggamma', 'loglaplace', 'lognorm',
            'gilbrat', 'maxwell', 'mielke', 'nakagami', 'ncx2', 'ncf', 't',
@@ -3901,7 +3901,7 @@ class genpareto_gen(rv_continuous):
         #%f = (1+k.*xn)**(-1./k-1)/s;        % for  k~=0
         #%f = exp((-1./k-1)*log1p(kxn))/s  % for  k~=0
         #%f = exp((-xn-kxn)*log1p(kxn)/(kxn))/s  % for any k kxn~=inf        
-        return exp(self._logpdf(x, c)
+        return exp(self._logpdf(x, c))
         #Px = pow(1+c*x,arr(-1.0-1.0/c))
         #return Px
     def _logpdf(self, x, c):
@@ -5367,10 +5367,12 @@ class t_gen(rv_continuous):
         g1 = where(df > 3, 0.0, nan)
         g2 = where(df > 4, 6.0/(df-4.0), nan)
         return 0, mu2, g1, g2
+t = t_gen(name='t', shapes="df")
 
 
 ## Non-central T distribution
 
+
 class nct_gen(rv_continuous):
     """A non-central Student's T continuous random variable.